CN105649896B - Wind turbines intelligent monitoring operation control system and its control method - Google Patents

Abstract

The invention discloses an intelligent monitoring operation control system and a control method for a wind power unit, which also includes an intelligent monitoring operation controller, an operating environment difference module, a wind resource difference module and a unit performance difference module. The invention adopts an intelligent control algorithm, which has the functions of self-learning, self-adaptive operation environment difference, wind resource difference and unit individual performance difference, and the control system has strong robustness and fault tolerance capability, which greatly reduces potential safety hazards to the power grid; Real-time monitoring of changes in operating environment differences, wind resource differences, and unit individual performance differences allows operators to more accurately judge the working status of wind turbines, greatly improving the safety of wind turbines and power grids; increasing operating environment differences, wind resource differences The three modules that differ from the individual performance of the wind turbine greatly improve the stable power output and safe and stable operation performance of the wind turbine.

Description

Wind turbine intelligent monitoring operation control system and its control method

technical field

The invention relates to the field of wind power generation, in particular to an intelligent monitoring operation control system and a control method for a wind turbine.

Background technique

Wind energy is an inexhaustible green energy, and wind power generation has become one of the most important renewable energy technologies in the world today. However, the main constraint factor that wind power cannot completely replace coal power is the instability of its power generation. When the total amount is too large, it will cause safety hazards to the power grid. The operating environment and wind resources have a great influence on the working conditions of the wind turbines. Even if different wind turbines are installed in the same wind farm, there are more or less differences in the operating environment and wind resources. In addition, even if the wind turbines have the same capacity, the individual performance of the wind turbines is different. There is also a coupling relationship between differences in operating environments, differences in wind resources, and differences in individual unit performance. For example, the wind speed (operating environment) determines the output power of the wind turbine, and the wind speed is also related to the height of the tower, the radius of the hub, the radius of the wind wheel, Wind turbine parameters (unit individual performance) such as blade chord length, overhang distance, blade lift coefficient, and drag coefficient are related to wind turbulence, wind shear, and tower shadow effect (wind resource). The existence of these differences and the coupling relationship make it difficult to control the wind turbines, which is the root cause of the instability of wind power generation. Therefore, it is very necessary to study an intelligent monitoring operation control system and method for wind turbines with self-learning ability, which can automatically adapt to differences in operating environments, wind resources, and individual performance of units.

Figure 1 shows the structure of the traditional monitoring and operation control system of wind turbines, which includes: wind turbines A to N 1, main controller 2, power grid 3, optical fiber ring network 4, optical fiber ring network switch 5, switch 6, database server 7, Operator station 8, Internet9, remote monitoring center 10. The wind turbines A to N 1 of the present invention in Fig. 1 are conventional doubly-fed motor wind turbines, which can be any form of wind turbines. The traditional monitoring and operation control system of wind turbines is characterized by the differences in operating environment, wind resources and individual performance of units, and does not have the ability of self-learning and self-adaptation.

1) The traditional monitoring and operation control system does not consider the real-time impact of differences in the operating environment, wind resources, and individual performance of the unit on the wind turbine. The main control of the wind turbine only uses traditional control algorithms to output control commands based on the real-time wind speed to control the movement of the wind turbine. and low stability;

The intelligent monitoring operation controller in the present invention adopts an intelligent control algorithm, which has the functions of self-learning, self-adaptive operation environment difference, wind resource difference and unit individual performance difference, and the control system has strong robustness and fault tolerance, greatly weakening the pose a security risk to the power grid.

2) The intelligent monitoring operation control system further refines the parameter indicators of differences in operating environment, wind resources and individual unit performance. It is highly versatile when applied to wind farms in different regions and different types of wind turbines. Traditional monitoring The generality of the operation control system is not high.

3) The traditional monitoring operation control system does not consider the real-time impact of operating environment differences, wind resource differences, and unit individual performance differences, and the corresponding operator station and remote monitoring center can monitor limited data.

Contents of the invention

In order to solve the above problems, the present invention provides a wind turbine intelligent monitoring operation control system and its control method, through which the intelligent monitoring operation control of the wind turbine can be effectively carried out, and the stability, reliability and reliability of the wind turbine are greatly improved. safety.

In order to achieve the above object, the technical scheme that the present invention takes is:

Wind turbine intelligent monitoring operation control system, including wind turbines A~N, power grid, optical fiber ring network, optical fiber ring network switch, switch, database server, operator station, Internet, remote monitoring center, the operator station is connected to the database server, the database The server is connected to the switch, the switch is connected to the optical fiber ring network switch, and the operator station respectively, and the operator station is connected to the remote monitoring center through the Internet. It is characterized in that it also includes an intelligent monitoring operation controller, an operation environment difference module, and a wind resource difference module. and unit performance difference modules.

Described intelligent monitoring operation controller comprises:

The operating environment parameter analysis module adopts an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller;

The wind resource parameter analysis module uses an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller;

The unit performance parameter analysis module uses an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller;

The intelligent controller adopts the intelligent control algorithm to integrate the influence of the difference in operating environment, the difference in wind resources and the individual performance of the unit on the wind turbine unit, and outputs a given control signal to control the action of the wind turbine A~N, and at the same time connects to the optical fiber ring network to realize data communication.

The operating environment difference modules include:

The first operator PLC is responsible for monitoring the operating environment parameters and sending corresponding control signals to I/O ports according to the program, and is responsible for real-time acquisition of various data and parameters;

The operating environment parameter application program module is interconnected with the operator PLC using the IEC 61400-25 standard. After the user authority is identified, the system assigns the corresponding usable modules to the corresponding users according to the process;

The data information backup and recovery module is used to store and manage operating environment parameter data, generate operating reports, and historical data reports;

Sensor group, including wind speed sensor, wind direction sensor, altitude sensor, noise sensor, humidity sensor, wave meter, sea current meter, tide gauge, respectively used for real-time monitoring of wind speed, direction, altitude, wind wheel and generator noise, atmosphere Humidity, wave height and wave spectrum, ocean current speed and direction, and tidal fluctuation height values; Among them, the wave meter, current meter, and tide gauge only work when the wind turbines A~N are offshore wind turbines, and these three are used when they are onshore wind turbines. sensors do not need to work;

Operating environment information module, including wind speed information module, wind direction information module, altitude information module, noise information module, humidity information module, wave information module, ocean current information module, tide information module, are used to analyze and process the data transmitted by the sensor group ; The same wave information module, ocean current information module, and tide information module only work when the wind turbines A to N are offshore wind turbines.

The wind resource difference module includes:

The second operator PLC is responsible for monitoring wind resource parameters and sending corresponding control signals to I/O ports according to the program, and is also responsible for real-time acquisition of various data and parameters;

The wind resource parameter application program module is interconnected with the operator PLC using the IEC 61400-25 standard. After user authorization identification, the system assigns corresponding usable modules to the corresponding users according to the process;

The data information backup and recovery module is used to store and manage wind resource parameter data, generate operation reports, and historical data reports;

Wind resource information module, including annual average wind speed information module, seasonal average wind speed information module, monthly average wind speed information module, daily average wind speed information module, hourly average wind speed information module, wind turbulence information module, wind shear information module, tower shadow The effect information module is used to analyze and process the annual, seasonal, monthly, daily and hourly average wind speed, as well as the data of wind turbulence, wind shear and tower shadow effect.

The unit performance difference module includes:

The third operator PLC is responsible for monitoring the performance parameters of the unit and sending corresponding control signals to the I/O port according to the program, and is responsible for real-time acquisition of various data and parameters;

The unit performance parameter application program module is interconnected with the operator PLC using the IEC 61400-25 standard. After user authorization identification, the system assigns corresponding usable modules to the corresponding users according to the process;

The data information backup and recovery module is used to store and manage unit performance parameter data, generate operation reports, and historical data reports;

Unit performance information group module, including fan basic information module, fan tower information module, fan cabin information module, fan blade information module, fan drive chain information module, fan pitch mechanism information module, fan generator information module, fan variable flow The inverter information module is used to analyze and process the basic data of the wind turbine and the data of the tower, nacelle, blade, transmission chain, pitch mechanism, generator, and converter.

The above-mentioned control method of the wind turbine intelligent monitoring operation control system includes the following steps:

S1. Start the wind turbine, connect to the grid, and start the operating environment difference module, wind resource difference module, and unit performance difference module at the same time;

S2. The operating environment difference module, wind resource difference module, and unit performance difference module monitor parameter changes in real time, and output data to the operating environment parameter analysis module, wind resource parameter analysis module, and unit performance parameter analysis module in the intelligent monitoring operation controller ;

S3. The operating environment parameter analysis module, the wind resource parameter analysis module, and the unit performance parameter analysis module use intelligent control algorithms to analyze and process the input data, and each corresponding output is multiplied by a weighting factor and then input to the intelligent controller;

S4. After the intelligent controller adopts the intelligent control algorithm to analyze and calculate, it outputs the given torque control signal and the given pitch angle control signal to the variable speed and pitch controller in the wind turbine;

S5. The real-time operation data of the fan output by the intelligent monitoring operation controller is transmitted and exchanged through the optical fiber ring network, the optical fiber ring network switch, and the switch, and then input to the database server and operator station, and then input to the remote monitoring center through the Internet

The present invention has the following beneficial effects:

The invention adopts an intelligent control algorithm, which has the functions of self-learning, self-adaptive operation environment difference, wind resource difference and unit individual performance difference, and the control system has strong robustness and fault tolerance, which greatly reduces potential safety hazards to the power grid; Real-time monitoring of changes in operating environment differences, wind resource differences, and unit individual performance differences allows operators to more accurately judge the working status of wind turbines, greatly improving the safety of wind turbines and power grids; increasing operating environment differences, wind resource differences There are three modules for the individual performance difference of the wind turbine, among which eight sensors are added to the operating environment difference module, which greatly improves the stable power output and safe and stable operation performance of the wind turbine, and the cost performance is actually higher. Positive significance and high versatility.

Description of drawings

Fig. 1 is a structural block diagram of a traditional monitoring operation control system of a wind turbine;

Fig. 2 is a structural block diagram of a wind turbine intelligent monitoring operation control system according to an embodiment of the present invention;

Fig. 3 is a diagram of the intelligent monitoring operation controller in the wind turbine intelligent monitoring operation control system according to the embodiment of the present invention;

Fig. 4 is a block diagram of operating environment differences in the wind turbine intelligent monitoring operation control system according to the embodiment of the present invention;

Fig. 5 is a diagram of wind resource difference modules in the wind turbine intelligent monitoring operation control system according to the embodiment of the present invention;

Fig. 6 is a block diagram of unit performance difference in the wind turbine intelligent monitoring operation control system according to the embodiment of the present invention.

Detailed ways

In order to make the objects and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

The PLCs in the three different modules of the present invention and the sensors in the operating environment difference modules are all commercially available mature products, and their specific structures, working principles and installation will not be further explained.

As shown in Figures 2-6, the embodiment of the present invention provides an intelligent monitoring and operation control system for wind turbines, including wind turbines A to N1, power grid 3, optical fiber ring network 4, optical fiber ring network switch 5, switch 6, database server 7, The operator station 8, the Internet 9, and the remote monitoring center 10 also include an intelligent monitoring operation controller 11, an operating environment difference module 12, a wind resource difference module 13, and a unit performance difference module 14. The real-time operation data of the fan is transmitted to the The optical fiber ring switch 5 is connected to the database server 7 and the operator station 8 through the switch 6, and is connected to the remote monitoring center 10 through the Internet 9,

Intelligent monitoring operation controller 11 comprises:

The operating environment parameter analysis module 110 uses an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller 113;

The wind resource parameter analysis module 111 uses an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller 113;

The unit performance parameter analysis module 112 uses an intelligent control algorithm to analyze and process the input data, and the output is multiplied by a weighting factor and then input to the intelligent controller 113;

The intelligent controller 113 adopts an intelligent control algorithm to comprehensively influence the influence of differences in the operating environment, wind resources and individual performance of the units on the wind turbines, output a given control signal to control the actions of the wind turbines A to N1, and communicate with the optical fiber ring network 4 at the same time. connected to realize data communication.

The operating environment difference module 12 includes:

The first operator PLC120 is responsible for monitoring the operating environment parameters and sending corresponding control signals to I/O ports according to the program, and is responsible for real-time acquisition of various data and parameters;

The operating environment parameter application program module 121 is interconnected with the operator PLC 120 using the IEC 61400-25 standard. After user authority identification, the system assigns corresponding usable modules to corresponding users according to the process;

Data information backup and recovery module 122, used to store and manage operating environment parameter data, generate operating reports, and historical data reports;

Sensor group 123, including wind speed sensor 1230, wind direction sensor 1231, altitude sensor 1232, noise sensor 1233, humidity sensor 1234, wave meter 1235, sea current meter 1236, tide gauge 1237, respectively used for real-time monitoring of wind speed, direction, and altitude , wind wheel and generator noise, atmospheric humidity, wave height and wave spectrum, ocean current speed and direction, and tidal fluctuation height values. Among them, wave gauges, current gauges, and tide gauges only work when wind turbines A to N1 are offshore wind turbines , these three sensors do not need to work when it is an onshore wind turbine;

The operating environment information group module 124 includes a wind speed information module 1240, a wind direction information module 1241, an altitude information module 1242, a noise information module 1243, a humidity information module 1244, an ocean wave information module 1245, an ocean current information module 1246, and a tide information module 1247. In order to analyze and process the data sent by the sensor group 123, the same wave information module, ocean current information module, and tide information module only work when the wind turbines A˜N1 are offshore wind turbines.

The Wind Resource Differentiation Module 13 includes:

The second operator PLC130 is responsible for monitoring wind resource parameters and sending corresponding control signals to I/O ports according to the program, and is also responsible for real-time acquisition of various data and parameters;

The wind resource parameter application program module 131 is interconnected with the operator PLC 130 using the IEC 61400-25 standard. After user authorization identification, the system assigns corresponding usable modules to corresponding users according to the process;

The data information backup and recovery module 132 has the function of storing and managing wind resource parameter data, generating operation reports and historical data reports;

The wind resource information group module 133 includes an annual average wind speed information module 1330, a seasonal average wind speed information module 1331, a monthly average wind speed information module 1332, a daily average wind speed information module 1333, an hourly average wind speed information module 1334, a wind turbulence information module 1335, a wind The shear information module 1336 and the tower shadow effect information module 1337 are respectively used to analyze and process the annual, seasonal, monthly, daily and hourly average wind speed of wind speed, and the data of wind turbulence, wind shear and tower shadow effect.

Crew performance difference module 14 includes:

The third operator PLC140 is responsible for monitoring the performance parameters of the unit and sending corresponding control signals to the I/O port according to the program, and is also responsible for real-time acquisition of various data and parameters;

The unit performance parameter application program module 141 is interconnected with the operator PLC 140 using the IEC 61400-25 standard. After user authorization identification, the system assigns corresponding usable modules to corresponding users according to the process;

Data information backup and recovery module 142, used to store and manage unit performance parameter data, generate operation reports, and historical data reports;

Unit performance information group module 143, including fan basic information module 1430, fan tower information module 1431, fan nacelle information module 1432, fan blade information module 1433, fan drive chain information module 1434, fan pitch mechanism information module 1435, fan power generation The machine information module 1436 and the wind turbine converter information module 1437 are used to analyze and process the basic data of the wind turbine and the data of the tower, nacelle, blades, transmission chain, pitch mechanism, generator, and converter, respectively.

The concrete steps of embodiment are:

Step 1: The wind turbines are started and connected to the grid, and the operating environment difference module 12, the wind resource difference module 13, and the unit performance difference module 14 start working at the same time.

Step 2, the operating environment difference module 12, the wind resource difference module 13, and the unit performance difference module 14 monitor the changes in parameters in real time, and the specific processing steps are:

2a) Operating environment difference module: wind speed sensor 1230, wind direction sensor 1231, altitude sensor 1232, noise sensor 1233, humidity sensor 1234, wave meter 1235, sea current meter 1236, tide gauge 1237 in the sensor group 123, respectively monitor the wind speed, Direction, altitude, wind wheel and generator noise, atmospheric humidity, wave height and wave spectrum, ocean current speed and direction, and tidal fluctuation height values, and the collected signals are sent to the operating environment information group module 124 for analysis and processing The final data are transmitted to the operator PLC 120 and the intelligent monitoring operation controller 11 respectively through the operating environment parameter application program module 121, and are simultaneously transmitted to the data information backup and recovery module 122 for storage and management.

2b) wind resource difference module: annual average wind speed information module 1330, seasonal average wind speed information module 1331, monthly average wind speed information module 1332, daily average wind speed information module 1333, hourly average wind speed information module 1334, wind resource information module 133 in wind resource information group module 133. The turbulence information module 1335, the wind shear information module 1336, and the tower shadow effect information module 1337 respectively read the data of the data information backup and recovery module 132, and the analyzed and processed data are transmitted to the operating system through the wind resource parameter application module 131. PLC 130 and intelligent monitoring operation controller 11, and at the same time, the processed data is sent to the data information backup and recovery module 132 for storage and management.

2c) Unit performance difference module: in the unit performance information group module 143, the fan basic information module 1430, the fan tower information module 1431, the fan cabin information module 1432, the fan blade information module 1433, the fan transmission chain information module 1434, and the fan pitch mechanism The information module 1435, the wind turbine generator information module 1437, and the wind turbine converter information module 1437 respectively read the data of the data information backup and recovery module 142, and the analyzed and processed data are transmitted to the operating unit through the unit performance parameter application program module 141, respectively. PLC 140 and intelligent monitoring operation controller 11, and at the same time, the processed data is sent to the data information backup and recovery module 142 for storage and management.

Step 3, the operating environment difference module 12, the wind resource difference module 13, and the unit performance difference module 14 output data to the operating environment parameter analysis module 110, the wind resource parameter analysis module 111, and the unit performance parameter analysis module 112 in the intelligent monitoring operation controller .

Step 4: The operating environment parameter analysis module 110, the wind resource parameter analysis module 111, and the unit performance parameter analysis module 112 use a fuzzy algorithm to analyze and process the input data, and each corresponding output is multiplied by a weighting factor and then input to the intelligent control Device 113, the specific processing steps are:

4a) The output of the operating environment parameter analysis module is wind speed information, wind direction information, altitude information, noise information, humidity information, ocean wave information, ocean current information, and tide information, corresponding to weighting factors a0, a1, a2, a3, a4, a5, a6, a7.

4b) The output of the wind resource parameter analysis module is annual average wind speed information, seasonal average wind speed information, monthly average wind speed information, daily average wind speed information, hourly average wind speed information, wind turbulence information, wind shear information, tower shadow effect, corresponding to Weighting factors b0, b1, b2, b3, b4, b5, b6, b7.

4c) The output of the unit performance parameter analysis module is the basic information of the wind turbine, the information of the wind turbine tower, the information of the wind turbine cabin, the information of the wind turbine blade, the information of the wind turbine transmission chain, the information of the wind turbine pitch mechanism, the information of the wind turbine generator, and the information of the wind turbine converter. Corresponding weighting factors c0, c1, c2, c3, c4, c5, c6, c7.

Step 5: After the intelligent controller 113 uses the neural network adaptive algorithm to analyze and calculate, it outputs the given torque control signal T* and the given pitch angle control signal β* to the variable speed and pitch controller 20 in the wind turbine 1 for specific processing The steps are:

5a) The torque given control signal T* is compared with the torque output signal T of the doubly-fed motor 17 to generate a torque deviation signal and input it to the variable speed and pitch controller 20, and the variable speed and pitch controller 20 controls the converter 19 to complete the work Wind turbine variable speed control.

5b) The pitch angle given control signal β* is compared with the pitch angle output signal β of the wind wheel 15 to generate a pitch angle deviation signal, which is input to the variable speed and pitch controller 20, and the variable speed and pitch controller controls the pitch mechanism 18 to work Complete wind turbine pitch control.

5c) The intelligent controller 113 controls the action of the wind turbine and simultaneously connects with the optical fiber ring network 4 to realize data communication.

Step 6: The real-time operation data of the blower fan output by the intelligent monitoring operation controller 11 is transmitted and exchanged through the optical fiber ring network 4, the optical fiber ring network switch 5, and the switch 6 in turn, and then input to the database server 7, the operator station 8, and input to the Remote monitoring center 10.

The above is only a preferred embodiment of the present invention, it should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications should also be It is regarded as the protection scope of the present invention.

Claims (2)

1. Wind turbines intelligent monitoring operation control system is exchanged including wind energy conversion system A~N, power grid, optical fiber ring network, optical fiber ring network Machine, interchanger, database server, operator station, Internet, remote monitoring center, operator station and database server It is connected, database server is connected with interchanger, and interchanger is respectively connected with optical fiber ring network interchanger, operator station, operator It stands and is connected by Internet with remote monitoring center, which is characterized in that further include intelligent monitoring operation controller, running environment Difference module, wind-resources difference module and unit performance difference module；

The intelligent monitoring operation controller includes：

Running environment Parameter analysis module, using intelligent control algorithm to the Data Analysis Services of input, output quantity is multiplied by respectively Intelligent controller is input to after one weighted factor；

Wind-resources Parameter analysis module, using intelligent control algorithm to the Data Analysis Services of input, output quantity is multiplied by one respectively Intelligent controller is input to after a weighted factor；

Unit performance Parameter analysis module, using intelligent control algorithm to the Data Analysis Services of input, output quantity is multiplied by respectively Intelligent controller is input to after one weighted factor；

Intelligent controller, using intelligent control algorithm, integrated operation environmental difference, wind-resources difference and unit individual performance difference Influence to Wind turbines exports the action of given control signal control wind energy conversion system A~N, and the reality that is connected simultaneously with optical fiber ring network Existing data communication；

The running environment difference module includes：

First operator PLC for the monitoring for being responsible for running environment parameter and sends out corresponding control signal according to program and gives I/O ends Mouthful, while it is responsible for the real-time acquisition of various data and parameter；

Running environment parameter application program module is interconnected using IEC 61400-25 standards and operator PLC, by user right After identification, system distributes corresponding usable module according to process for corresponding user；

Data information backs up and recovery module, for storage management running environment supplemental characteristic, generating run report and history Data sheet；

Sensor group, including air velocity transducer, wind transducer, height above sea level sensor, noise transducer, humidity sensor, wave Instrument, current meter, tide register are respectively used to monitor wind speed size, direction, height above sea level, wind wheel and generator noise, air in real time Humidity, wave heights and wave spectrum, current speed and direction, tiding height value；

Running environment information group module, including wind speed information module, wind direction information module, altitude information module, noise information mould Block, humidity information module, Wave Information module, Ocean current information module, Tidal Information module are respectively used to analyzing and processing sensor The data that group transmission comes；

The wind-resources difference module includes：

Second operator PLC for the monitoring for being responsible for wind-resources parameter and sends out corresponding control signal according to program and gives I/O ends Mouthful, while it is responsible for the real-time acquisition of various data and parameter；

Wind-resources parameter application program module is interconnected using IEC 61400-25 standards and operator PLC, known by user right After not, system distributes corresponding usable module according to process for corresponding user；

Data information backs up and recovery module, for storage management wind-resources supplemental characteristic, generating run report and history number According to report；

Wind-resources information group module, including annual mean wind speed information module, season mean wind speed information module, monthly average wind speed information Module, per day wind speed information module, when mean wind speed information module, wind turbulent flow information module, wind shear information module, tower shadow Effect information module, be respectively used to analyzing and processing year of wind speed, season, the moon, day, when mean wind speed and wind turbulent flow, wind shear, tower The data of shadow effect；

The unit performance difference module includes：

Third operator PLC for the monitoring for being responsible for unit performance parameter and sends out corresponding control signal according to program and gives I/O ends Mouthful, while it is responsible for the real-time acquisition of various data and parameter；

Unit performance parameter application program module is interconnected using IEC 61400-25 standards and operator PLC, by user right After identification, system distributes corresponding usable module according to process for corresponding user；

Data information backs up and recovery module, for storage management unit performance supplemental characteristic, generating run report and history Data sheet；

Unit performance information group module, including wind turbine basic information module, blower fan tower barrel information module, fan engine room information mould Block, fan blade information module, wind turbine transmission chain information module, blower variable-pitch mechanism information module, wind turbine power generation machine information mould Block, fan converter information module are respectively used to analyzing and processing wind turbine master data and tower, cabin, blade, transmission chain, change Paddle mechanism, generator, current transformer data.

2. the control method of Wind turbines intelligent monitoring operation control system as described in claim 1, which is characterized in that including Following steps：

S1, start Wind turbines, is grid-connected, while starting running environment difference module, wind-resources difference module, unit performance difference Module；

The real-time monitoring parameters situation of change of S2, running environment difference module, wind-resources difference module, unit performance difference module, And output data to intelligent monitoring run controller in running environment Parameter analysis module, wind-resources Parameter analysis module, machine Group performance parameter analysis module；

S3, running environment Parameter analysis module, wind-resources Parameter analysis module, unit performance Parameter analysis module are controlled using intelligence Algorithm processed is input to intelligent control to the Data Analysis Services of input, corresponding each output quantity after being multiplied by a weighted factor Device；

S4, intelligent controller using after intelligent control algorithm analytic operation, output torque give control signal and become propeller angle to Surely speed-changing oar-changing controller in signal to wind energy conversion system is controlled；

S5, intelligent monitoring operation controller output wind turbine real-time running data successively through optical fiber ring network, optical fiber ring network interchanger, After interchanger transmission exchanges, database server, operator station are input to, and pass through Internet and be input in remote monitoring The heart.